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<div class="subTitle">org.apache.commons.math3.ml.neuralnet</div>
<h2 title="Class FeatureInitializerFactory" class="title">Class FeatureInitializerFactory</h2>
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<li>org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory</li>
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<pre>public class <span class="strong">FeatureInitializerFactory</span>
extends <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></pre>
<div class="block">Creates functions that will select the initial values of a neuron's
 features.</div>
<dl><dt><span class="strong">Since:</span></dt>
  <dd>3.3</dd></dl>
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<h3>Method Summary</h3>
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<caption><span>Methods</span><span class="tabEnd">&nbsp;</span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code>static <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.html#function(org.apache.commons.math3.analysis.UnivariateFunction,%20double,%20double)">function</a></strong>(<a href="../../../../../../org/apache/commons/math3/analysis/UnivariateFunction.html" title="interface in org.apache.commons.math3.analysis">UnivariateFunction</a>&nbsp;f,
        double&nbsp;init,
        double&nbsp;inc)</code>
<div class="block">Creates an initializer from a univariate function <code>f(x)</code>.</div>
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<td class="colFirst"><code>static <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.html#randomize(org.apache.commons.math3.distribution.RealDistribution,%20org.apache.commons.math3.ml.neuralnet.FeatureInitializer)">randomize</a></strong>(<a href="../../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a>&nbsp;random,
         <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;orig)</code>
<div class="block">Adds some amount of random data to the given initializer.</div>
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<td class="colFirst"><code>static <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.html#uniform(double,%20double)">uniform</a></strong>(double&nbsp;min,
       double&nbsp;max)</code>
<div class="block">Uniform sampling of the given range.</div>
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<td class="colFirst"><code>static <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializerFactory.html#uniform(org.apache.commons.math3.random.RandomGenerator,%20double,%20double)">uniform</a></strong>(<a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
       double&nbsp;min,
       double&nbsp;max)</code>
<div class="block">Uniform sampling of the given range.</div>
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<h3>Methods inherited from class&nbsp;java.lang.<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></h3>
<code><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#clone()" title="class or interface in java.lang">clone</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#equals(java.lang.Object)" title="class or interface in java.lang">equals</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#finalize()" title="class or interface in java.lang">finalize</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#getClass()" title="class or interface in java.lang">getClass</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#hashCode()" title="class or interface in java.lang">hashCode</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notify()" title="class or interface in java.lang">notify</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notifyAll()" title="class or interface in java.lang">notifyAll</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang">toString</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait()" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long)" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long,%20int)" title="class or interface in java.lang">wait</a></code></li>
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<h4>uniform</h4>
<pre>public static&nbsp;<a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;uniform(<a href="../../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
                         double&nbsp;min,
                         double&nbsp;max)</pre>
<div class="block">Uniform sampling of the given range.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>min</code> - Lower bound of the range.</dd><dd><code>max</code> - Upper bound of the range.</dd><dd><code>rng</code> - Random number generator used to draw samples from a
 uniform distribution.</dd>
<dt><span class="strong">Returns:</span></dt><dd>an initializer such that the features will be initialized with
 values within the given range.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>min &gt;= max</code>.</dd></dl>
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<h4>uniform</h4>
<pre>public static&nbsp;<a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;uniform(double&nbsp;min,
                         double&nbsp;max)</pre>
<div class="block">Uniform sampling of the given range.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>min</code> - Lower bound of the range.</dd><dd><code>max</code> - Upper bound of the range.</dd>
<dt><span class="strong">Returns:</span></dt><dd>an initializer such that the features will be initialized with
 values within the given range.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>min &gt;= max</code>.</dd></dl>
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<h4>function</h4>
<pre>public static&nbsp;<a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;function(<a href="../../../../../../org/apache/commons/math3/analysis/UnivariateFunction.html" title="interface in org.apache.commons.math3.analysis">UnivariateFunction</a>&nbsp;f,
                          double&nbsp;init,
                          double&nbsp;inc)</pre>
<div class="block">Creates an initializer from a univariate function <code>f(x)</code>.
 The argument <code>x</code> is set to <code>init</code> at the first call
 and will be incremented at each call.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>f</code> - Function.</dd><dd><code>init</code> - Initial value.</dd><dd><code>inc</code> - Increment</dd>
<dt><span class="strong">Returns:</span></dt><dd>the initializer.</dd></dl>
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<h4>randomize</h4>
<pre>public static&nbsp;<a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;randomize(<a href="../../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a>&nbsp;random,
                           <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html" title="interface in org.apache.commons.math3.ml.neuralnet">FeatureInitializer</a>&nbsp;orig)</pre>
<div class="block">Adds some amount of random data to the given initializer.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>random</code> - Random variable distribution.</dd><dd><code>orig</code> - Original initializer.</dd>
<dt><span class="strong">Returns:</span></dt><dd>an initializer whose <a href="../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html#value()"><code>value</code></a>
 method will return <code>orig.value() + random.sample()</code>.</dd></dl>
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